A Meta-Model Integration for Supporting Knowledge Discovery in Specific Domains: A Case Study in Healthcare
A meta-model to develop learning ecosystems with support for knowledge discovery and decision-making processes
Generating Dashboards Using Fine-Grained Components: A Case Study for a PhD Programme
AI-Driven Assessment of Students: Current Uses and Research Trends
Aggregation Bias: A Proposal to Raise Awareness Regarding Inclusion in Visual Analytics
Visual Learning Analytics for a Better Impact of Big Data
Beneficios de la aplicación del paradigma de líneas de productos software para generar dashboards en contextos educativos
Representing Data Visualization Goals and Tasks Through Meta-Modeling to Tailor Information Dashboards
A Data-Driven Introduction to Authors, Readings and Techniques in Visualization for the Digital Humanities
The newly rediscovered frontier between data visualization and the digital humanities has proven to be an exciting field of experimentation for scholars from both disciplines. This fruitful collaboration is attracting researchers from other areas of science who may be willing to create visual analysis tools that promote humanities research in its many forms. However, as the collaboration grows in complexity, it may become intimidating for these scholars to get engaged in the discipline. To facilitate this task, we have built an introduction to visualization for the digital humanities that sits on a data-driven stance adopted by the authors. In order to construct a dataset representative of the discipline, we analyze citations from a core corpus on 300 publications in visualization for the humanities obtained from recent editions of the InfoVis Vis4DH workshop, the ADHO Digital Humanities Conference, and the specialized digital humanities journal Digital Humanities Quarterly. From here, we extract referenced works and analyze more than 1900 publications in search of citation patterns, prominent authors in the field, and other interesting insights. Finally, following the path set by other researchers in the visualization and Human-Computer Interaction (HCI) communities, we analyze paper keywords to identify significant themes and research opportunities in the field.